Discovering Novel Biomedical Concepts through Probabilistic Modeling

Machine learning offers a data-driven approach to transform scientific discovery, particularly in the biomedical domain. The author proposes a geometry-constrained probabilistic modeling framework to address challenges in discovering novel classes.